Distributed quantum computing: a new frontier in distributed systems or science fiction? - Vasil S. Denchev; Gopal Pandurangan (SIGACT News, 2008)

Training a Large Scale Classifier with the Quantum Adiabatic Algorithm - Hartmut Neven; Vasil S. Denchev; Geordie Rose; William G. Macready (CoRR, 2009)

Robust Classification with Adiabatic Quantum Optimization. - Vasil S. Denchev; Nan Ding 002; S. V. N. Vishwanathan; Hartmut Neven (ICML, 2012)

QBoost: Large Scale Classifier Training with Adiabatic Quantum Optimization. - Hartmut Neven; Vasil S. Denchev; Geordie Rose; William G. Macready (ACML, 2012)

Binary classification with adiabatic quantum optimization - Vasil S. Denchev (2013)

Construction of non-convex polynomial loss functions for training a binary classifier with quantum annealing. - Ryan Babbush; Vasil S. Denchev; Nan Ding 002; Sergei Isakov; Hartmut Neven (CoRR, 2014)

Totally Corrective Boosting with Cardinality Penalization. - Vasil S. Denchev; Nan Ding 002; Shin Matsushima; S. V. N. Vishwanathan; Hartmut Neven (CoRR, 2015)

Efficient Population Transfer via Non-Ergodic Extended States in Quantum Spin Glass. - Kostyantyn Kechedzhi; Vadim Smelyanskiy; Jarrod R. McClean; Vasil S. Denchev; Masoud Mohseni; Sergei Isakov; Sergio Boixo; Boris Altshuler; Hartmut Neven (TQC, 2018)

Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization. - Masoud Mohseni; Daniel Eppens; Johan Strümpfer; Raffaele Marino; Vasil S. Denchev; Alan K. Ho; Sergei V. Isakov; Sergio Boixo; Federico Ricci-Tersenghi; Hartmut Neven (CoRR, 2021)